Background
We believe that technology is a means to an end. Whether it is identifying loan credit worthiness, what makes an inflation proof lifestyle, building the most efficient NBA roster while constrained by team’s cap space, which features have the most impact on car sales or improving billing efficiency for a utility or whether it is improving healthcare quality, technology solutions must follow the business goals.
Although, often technology with all of its complexity ends up becoming an end to itself. This is compounded for technology in the data and analytics industry because the inherent complexity today’s data ecosystems bring.
Overview
With Sprngy, our goal is to provide a platform that makes managing data life-cycle hassle free while significantly reducing the time from raw data to actionable insights. Our users can maximize time spent on identifying insights and acting upon those insights versus having to deal with data and technology complexity simply to make things work.
Introduction
So then what is Sprngy and how does it achieve that goal?
Sprngy is a unified data analytics platform. It provides all data lifecycle management features required to go from raw data to insights. Whether it is connecting to existing data sources and importing data, whether it is storing massive amounts of data and providing rapid access, whether it is cleaning up the data for business’ use, whether it is running algorithms to identify patterns in the data, whether it is running models to develop foresights or whether it is visualizing the data - all of this can be done in the platform. It also provides platform troubleshooting features so that our client teams can manage the platform themselves without having to be dependent on us all the time.
And what’s truly special about Sprngy is that it provides all these features with little coding knowledge required.